Random tech-loving panamerican i guess lol
Fees, random support networks with people from Poland to Paraná, and whatever else of an enigma of a mess agency qualm qualm demands I swear…
Stuff like this could be added to misskey, Firefish, or whatever other fediverse platforms there are. No need to implement it on Mastodon & piss off the entrenched community that wants no algorithm.
As for the algorithm, im imagining a few dedicated relay servers to sift through mastodon server data using a dedicated llm (thinking like llama or hugging face? I don’t know much about the technicals) to sift through and rate posts by engagement, word choice (evil, demonic, eugenics, crypto, etc) and rate each post topic collectively based on how virtiolic, how much engagement, how many posts, how similar to other posts (for spam), & the topic category & subcategory based off the respective language.
Users who activate the feature would have likes, saves, & etc stored on the client & a hash sent or something with the potential profile focus of the person.
The server weighing the details will prefer to return less seen & posted content very specifically tailored & occasionally more notable & engaged posts that are more general & less charged.
I think the general idea is interesting, & I would try to build it myself (for those who say stop whining & make it yourself), but im here grinding through kaggle learning & udemy so it’d be a while lol
A guess, but easily yes I’m guessing, given 1TB stores like a few YouTube channels and all of their videos? Like not a lot at 1080p or especially 4k.
(Hosted channels on lbry/odysee, I thought I could fit 100 channels in 1TB, I could only do like 8 or 10 when I was done).